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48,453 grants matching machine learning

Compound repositioning for Alzheimer's Disease using knowledge graphs, insurance claims data, and gene expression complementarity

$877,205
Andrew I Su · Scripps Research Institute, The · R01 · FY2024 · AG

GenePattern and GenePattern Notebook: Integrative 'Omic Analysis for Cancer Research

$877,010
Jill P. Mesirov · University Of California, San Diego · U24 · FY2024 · CA

Project 3: Defining and defeating the mechanisms of outer membrane biogenesis in Gram-negative bacteria

$876,838
Thomas G Bernhardt · Harvard Medical School · U19 · FY2024 · AI

Using Search Engine Data for Detection and Early Intervention in Suicide Prevention

$876,668
Katherine Anne Comtois · University Of Washington · R01 · FY2021 · MH

BIGDATA: IA: Exploring Analysis of Environment and Health Through Multiple Alternative Clustering

$876,648
Jennifer G Dy · Northeastern University · · FY2016 · CSE

MACHINE LEARNING-ENABLED MONITORING OF METALLIC SOLUTES VIA X-RAY ABSORPTION SPECTROSCOPY IN MOLTEN SALT FUSION BLANKETS

$876,564
University Of Massachusetts Lowell · · FY2025 · Department of Energy

NLM Research Training Program in Biomedical Informatics and Data Science for Predoctoral and Postdoctoral Fellows

$876,429
Lydia E. Kavraki · Rice University · T15 · FY2022 · LM

DMREF/Collaborative Research: Grain Interface Functional Design to Create Damage Resistance in Polycrystalline Metallic Materials

$876,311
Curt A Bronkhorst · University Of Wisconsin-Madison · · FY2022 · ENG

Engagement and outreach to achieve a FAIR data ecosystem for the BICAN

$876,302
Guo-Qiang Zhang · University Of Texas Hlth Sci Ctr Houston · U24 · FY2024 · MH

Engagement and outreach to achieve a FAIR data ecosystem for the BICAN

$876,302
Guo-Qiang Zhang · University Of Texas Hlth Sci Ctr Houston · U24 · FY2025 · MH

Collaborative Research: ECO-CBET: Coupled homogeneous and heterogeneous processes for an environmentally sustainable lignin-first biorefinery

$876,000
Andreas Heyden · University Of South Carolina At Columbia · · FY2022 · ENG

Project 3: Defining and defeating the mechanisms of outer membrane biogenesis in Gram-negative bacteria

$875,998
Thomas G Bernhardt · Harvard Medical School · U19 · FY2023 · AI

Optimizing integration of veterinary clinical research findings with human health systems to improve strategies for early detection and intervention

$875,885
Cheryl A London · Tufts University Boston · RC2 · FY2023 · TR

III-CXT-Medium: Interdisciplinary Machine Learning Research and Education

$875,824
Carla E Brodley · Tufts University · · FY2008 · CSE

New approaches to addiction treatment

$875,660
David Epstein · National Institute On Drug Abuse · ZIA · FY2022 · DA

Predicting Pancreatic Ductal Adenocarcinoma (PDAC) Through Artificial Intelligence Analysis of Pre-Diagnostic CT Images

$875,504
Debiao Li · Cedars-Sinai Medical Center · R01 · FY2025 · CA

Multi-color optical voltage imaging of neural activity in behaving animals

$875,437
Mark J Schnitzer · Stanford University · U01 · FY2021 · NS

SBIR Phase II: Field-deployable, hand-held spectrophotometer sensor platform for citrus growers to rapidly screen for HLB disease

$875,423
Perry S Edwards · Atoptix, Inc. · · FY2018 · TIP

WoU-MMA: An Integrated Time Domain System for Discovery and Fast Follow-up of Gravitational Wave Events and Other Transients

$875,403
David J Sand · University Of Arizona · · FY2021 · MPS

Defining cell types, lineage, and connectivity in developing human fetal cortex

$875,397
Daniel H Geschwind · University Of California Los Angeles · U01 · FY2014 · MH

Single Session Pain Catastrophizing Treatment: Comparative Efficacy & Mechanisms

$875,194
Sean C Mackey · Stanford University · R01 · FY2016 · AT

Creating adaptive, wearable technologies to assess and intervene for individuals with ADRDs

$875,002
Diane Joyce Cook · Washington State University · R35 · FY2023 · AG

ACCELERATING LARGE-SCALE ATOMISTIC AND CONTINUUM SIMULATIONS WITH PHYSICALLY CONSISTENT AND SCALABLE MACHINE LEARNING METHODS

$875,000
Regents Of The University Of California, The · · FY2025 · Department of Energy

INTEGRATION OF HIGH-THROUGHPUT EXPERIMENTS AND PHYSICS-INFORMED MACHINE LEARNING TO UNDERSTAND IRRADIATION-INDUCED SWELLING IN METALLIC GLASS

$875,000
The Pennsylvania State University · · FY2025 · Department of Energy

** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** WE'RE LEVERAGING THE LATEST INNOVATIONS IN SENSORS, WASTEWATER TREATMENT, HYDROPONIC SYSTEMS, AND MACHINE LEARNING TO DEVELOP A NEW DECENTRALIZED SYSTEM THAT INTEGRATES WASTEWATER TREATMENT WITH HYDROPONIC FARMING. THIS SYSTEM AIMS TO PRODUCE VEGETABLES EFFICIENTLY, USING MINIMAL RESOURCES AND ENERGY, BY IMPLEMENTING ADVANCED METHODS FOR REAL-TIME DATA COLLECTION AND SYSTEM CONTROL.LOCAL AND DECENTRALIZED CONTROLLED ENVIRONMENT AGRICULTURE (CEA) CAN ADDRESS ISSUES RELATED TO WATER AND NUTRIENT SHORTAGES, ENHANCING FOOD SECURITY AND ENVIRONMENTAL MANAGEMENT. HOWEVER, CURRENT CEAS OFTEN STRUGGLE WITH LIMITED DATA COLLECTION, UNRELIABLE CONTROL SYSTEMS, AND HIGH COSTS. OUR PROJECT SEEKS TO OVERCOME THESE CHALLENGES BY EQUIPPING FUTURE CEA FACILITIES WITH RELIABLE SENSING, UNDERSTANDING, AND DECISION-MAKING CAPABILITIES, MOVING TOWARDS GREATER AUTOMATION.THIS RESEARCH IS SUPPORTED BY TWO ESTABLISHED EXPERIMENTAL SETUPS: A PILOT CEA SYSTEM AT GEORGIA TECH AND A HYDROPONIC GREENHOUSE AT THE UNIVERSITY OF GEORGIA. THESE SETUPS FEATURE INNOVATIVE DATA-GATHERING DEVICES, SUCH AS ONLINE MEMBRANE SENSORS AND ROBOTIC SYSTEMS FOR PLANT MONITORING, ALONG WITH CUTTING-EDGE REINFORCEMENT LEARNING ALGORITHMS FOR OPTIMIZING COMPLEX, CHANGING ENVIRONMENTS.

$875,000
Georgia Tech Research Corp · · FY2024 · National Institute of Food and Agriculture